Results 51 to 60 of about 922 (173)

A new intelligent algorithm for solving generalized Nash equilibrium problem

Alexandria Engineering Journal
In this paper, the chaotic whale slime mould algorithm (CWSMA) is designed to solve the generalized Nash equilibrium problem (GNEP). First, the GNEP is converted into a non-linear equation system problem using the Karush–Kuhn–Tucker (KKT) condition and ...
Kai Wang, Wensheng Jia
doaj   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

Slime Mould Algorithm Based on a Gaussian Mutation for Solving Constrained Optimization Problems

Mathematics
The slime mould algorithm may not be enough and tends to trap into local optima, low population diversity, and suffers insufficient exploitation when real-world optimization problems become more complex.
Gauri Thakur, Ashok Pal, Nitin Mittal, Asha Rajiv, Rohit Salgotra   +4 more
doaj   +1 more source

Tuning ANN Hyperparameters by CPSOCGSA, MPA, and SMA for Short-Term SPI Drought Forecasting

Atmosphere, 2022
Modelling drought is vital to water resources management, particularly in arid areas, to reduce its effects. Drought severity and frequency are significantly influenced by climate change.
Mustafa A. Alawsi, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Al-Bugharbee, Hussein Mohammed Ridha   +4 more
doaj   +1 more source

Design of Novel Exponential PDN Controller via Quadratic Interpolation Optimiser for Nonlinear and Unstable Ball and Beam System

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel exponential proportional‐derivative controller with filter (exp‐PDN) for stabilising the nonlinear and underactuated ball and beam system. Unlike conventional PID‐based approaches, the proposed controller removes the integral term, resulting in faster transient responses and improved robustness.
Davut Izci, Serdar Ekinci, Emre Çelik, Murat Uyar, Mohit Bajaj, Vojtech Blazek, Olena Rubanenko   +6 more
wiley   +1 more source

REAL TIME ECONOMIC DISPATCH CONSIDERING RENEWABLE ENERGY RESOURCES UNCERTAINTY USING EFFECTIVE OPTIMIZATION TECHNIQUES [PDF]

, 2022
El despacho económico es uno de los conceptos esenciales en los sistemas de gestión y operación de sistemas eléctricos de potencia. Por otro lado, con la creciente preocupación por las emisiones contaminantes, encontrar una solución para la emisión se ha
MOHAMED HOSNY, HASSAN SALAMAA
core  

An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system [PDF]

, 2023
Conventionally, researchers have favored the model-based control scheme for controlling gantry crane systems. However, this method necessitates a substantial investment of time and resources in order to develop an accurate mathematical model of the ...
Ahmad, M.A., Ahmad, M.A., Ghazali, M., Ghazali, M., Mohd Tumari, M., Mohd Tumari, M., Suid, M.H., Suid, M.H., Tokhi, M.O., Tokhi, M.O.   +9 more
core   +1 more source

An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study

IEEE Access, 2021
This paper has proposed an effective intelligent prediction model that can well discriminate and specify the severity of Coronavirus Disease 2019 (COVID-19) infection in clinical diagnosis and provide a criterion for clinicians to weigh scientific and ...
Peiliang Wu, Hua Ye, Xueding Cai, Chengye Li, Shimin Li, Mengxiang Chen, Mingjing Wang, Ali Asghar Heidari, Mayun Chen, Jifa Li, Huiling Chen, Xiaoying Huang, Liangxing Wang   +12 more
doaj   +1 more source

A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index [PDF]

, 2023
The determination of the compression index (Cc) of clay through oedometer tests is time-consuming and expensive. To replace the practice of conducting laboratory oedometer tests, this study presents a comparative analysis of hybrid machine learning ...
Alzo’ubi, AK, Bardhan, A, Gandomi, AH, Gokceoglu, C, Kardani, N, Samui, P   +5 more
core   +1 more source

Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach

Engineering Reports, Volume 7, Issue 8, August 2025.
Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais   +6 more
wiley   +1 more source